Asymmetrical physiological cost of reproduction shapes caste-specific resource allocation in an ant, Diacamma cf. indicum from Japan
Data files
Jan 16, 2026 version files 55.84 KB
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All_data_revised.xlsx
44.53 KB
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README.md
3.64 KB
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RSOS_R_script.Rmd
7.67 KB
Abstract
In eusocial insects, queens demonstrate high reproductive capacity and extended longevity, representing examples of the trade-off in resource allocation. Workers perform non-reproductive tasks, such as caring for broods and foraging, thus reducing the energetic demands of queens. As queens dedicate their lives to reproduction, these reduced energetic demands enable them to live longer, laying many eggs. However, the physiological specialisation of queens is markedly distinct from that of workers. This study examines the trade-off between immunocompetence and reproduction among castes in an ant species, Diacamma cf. indicum, from Japan, which lacks a morphological queen caste. First, gamergates (functional queens) exhibited higher expression of innate immunity genes than the workers. Second, to experimentally skew resource allocation toward immunocompetence, gamergates and reproductive workers were subjected to an immune challenge. As a result, the expression of the antimicrobial peptide gene Hymenoptaecin was increased in gamergates without compromising reproduction-related genes, such as Vitellogenin. In contrast, the expression of genes associated with reproduction was decreased in reproductive workers. Moreover, we revealed that gamergates possessed a remarkably low fat content, similar to non-reproductive foragers. These findings suggest that, while gamergates can overcome the trade-off, reproductive workers are constrained by the physiological costs of reproduction.
Dataset DOI: 10.5061/dryad.ht76hdrvn
Description of the data and file structure
This Excel workbook contains all datasets used in the analyses for this study. Each analysis is organized into a separate worksheet (tab). The name of each tab clearly indicates the corresponding analysis in which the dataset was used. Each tab corresponds to a specific analysis performed in the study. Tab names match the analysis names as referenced in the manuscript (e.g., "Fig.2a_Gene_efficiency"). Columns within each tab are labeled to describe the variables and measurement details.
Files and variables
Variables
dna: Dilution series
cq: Ct values
gene: gene name
Tab: Fig.2a_Gene_efficiency
Variables
sample: Sample ID
Caste: Category of behavioral caste
Colony: Colony ID
Gapdh: Ct value of gapdh
Def: Ct value of Def
Hym: Ct value of Hym
Toll: Ct value of Toll
Imd: Ct value of Imd
Tab: Fig.2a_Normal_condition_Gene_CT
Variables
Gene: gene name
Comaresion: Combinatinon (F: forager; N: nurse; Q: gamergate)
P: P value
Tab: Fig.2a_Pvalue
Variables
sample: Sample ID
Bacteria: Killed-bacteria treatment (1) and control (0)
Caste: Category of caste (Q: gamergate)
Treatment: Category of treatment (CQ: control gamergate; IQ: killed-bacteria treatment gamergate)
Egg: Total number of eggs produced
Rank: Category of reproductive individual (queen: gamergate)
Gapdh: Ct value of gapdh
Def: Ct value of Def
Vg: Ct value of Vg
Hym: Ct value of Hym
VgR: Ct value of VgR
Tab: Fig.2b_Immune_challenge_geneCT
Variables
sample: Sample ID
Bacteria: Killed-bacteria treatment (1) and control (0)
Caste: Category of caste (W: worker)
Treatment: Category of treatment (CW: control worker; IW: killed-bacteria treatment worker)
Egg: Total number of eggs produced
Rank: Category of reproductive individual (high: high reproductive worker)
Gapdh: Ct value of gapdh
Def: Ct value of Def
Vg: Ct value of Vg
Hym: Ct value of Hym
VgR: Ct value of VgR
Tab: Fig.2b_Immune_challenge_geneCT
Variables
dna: Dilution series
cq: Ct value
gene: gene name
Tab: Fig.2bc_Immune_challenge_GeneEf
Variables
Caste: Category of reproductive individual (high: high reproductive worker; queen: gamergate)
Gene: gene name
P: P value
Tab: Fig.2bc_Pvalue
Variables
ID: Indiviudal ID
Colony: Colony ID
Caste: Category of caste (W: worker; Q: gamergate)
Bacteria: Killed-bacteria treatment (1) and control (0)
Total: Total number of products
Rank: Category of reproductive individual (high: high reproductive worker; queen: gamergate)
Fig.S1_Egg number
Valiables
Colony: Colony ID
cast- Q- queen; W-worker
bacteria- present(1) or absent(0)
total: total count
rank: Q: used only for queens high: workers with unusually high “Total” values; NA: normal / not classified as high
Fig3_lipid_content
Colony: Colony ID
Task: Category of caste (Queen: gamergate; Forager: forager worker; Nurse: nurse worker)
Relative.quantity: Relative quantity of fat content
File: All_data_revised.xlsx; RSOS_R_script.Rmd
These analyses quantify gene expression, reproduction, and lipid content across castes and treatments using Bayesian qRT-PCR (MCMC.qpcr) and generalized (mixed) models, with colony as a random effect and multiple-testing correction (BH) to test immune, reproductive, and physiological differences among queens, workers, and treatments.
